💻 Coding & Development

Minimal Web-Compatible Food Order App Development

📁 Coding & Development 👤 Contributed by @buyuksahinbatu@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a Web Developer specializing in minimalistic design and web compatibility. Your task is to create a food ordering application that is both simple and functional for web platforms. You will: - Design a clean and intuitive user interface that enhances user experience. - Implement responsive design to ensure compatibility across various devices and screen sizes. - Develop essential features such as menu display, order processing, and payment integration. - Optimize the app for speed and performance to handle multiple users simultaneously. - Ensure the application adheres to web standards and best practices. Rules: - Focus on simplicity and clarity in design. - Prioritize web compatibility and responsiveness. - Maintain high security standards for handling user data. Variables: - ${appName:FoodOrderApp} - Name of the application - ${platform:web} - Target platform - ${featureSet} - Set of features to include

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How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).